Advanced value of Sensor Data in Cycling through Machine Learning

Body Rocket提供了一种基于专利知识产权的改变游戏规则的测量系统，允许自行车手和铁人三项运动员在真实的道路条件下实时测量自行车上接近风洞的空气动力学阻力。由于80%的空气动力阻力来自于你的身体（位置，衣服，运动），所以所有骑自行车的人都有很大的改进空间。我们可以在道路上进行精确的空气测量，而不是人工限制和精英的风洞和赛车场。我们的解决方案针对的是竞争激烈的大众市场，即全球数千万对运动表现感兴趣的自行车运动员和铁人三项运动员。它为已经建立的动力测量需求增加了空气动力学的洞察力，为车手提供了更完整的画面和可操作的性能改进建议。该项目侧重于数据分析，将多个相互依存的测量参数（例如垂直和水平力、功率输出、重量分布、风、坡度等）与空气动力学性能的影响联系起来，从而在驾驶过程中提出改进和优化建议。它还将在自行车电脑上设计直观的骑行显示/关键措施和建议的可视化。该项目还研究了由我们的多传感器系统生成的大量专有数据集的使用，从而为低成本的双传感器系统提供更好的假设，从而实现额外的开发选择，甚至更广泛的大众市场准入。

Body Rocket has delivered a game changing measurement system based on patented IP allowing cyclists and triathletes to measure aerodynamic drag to near wind tunnel accuracy on the bike under real-world road conditions, in real time, all the time. Since 80% of aerodynamic drag is due to your body (position, clothing, movement) there is much scope to improve all cyclists. We enable accurate aero measurement on the road instead of the artificially constrained and elite-only world of wind tunnels and velodromes.Our solution targets the competitive and mass market of tens-of-millions of performance-interested sports cyclists and triathletes globally. It adds aerodynamics insight to the already established demand for power measurement giving riders a more complete picture and actionable advice for performance improvement.This project focusses on the data analytics which will relate multiple interdependent measured parameters (e.g. vertical and horizontal forces, power output, weight distribution, wind, slope etc.) to impacts on aero performance thus enabling recommendations for improvement and optimisation during the ride. It will also design intuitive rider display/visualisation of key measures and advice on the bike computer. The project also investigates the use of the enormous proprietary data sets generated by our multi-sensor system to enable much better assumptions for a lower-cost 2-sensor system enabling additional exploitation options and even wider mass market accessibility.